class_docstr: This class is responsible for building components for semantic segmentation. 
code: def val_transforms(self) -> list:
      dataset_cfg = self.config.val_dataset_cfg
      assert (
          dataset_cfg != {}
      ), "No val_dataset specified in the configuration file."
      transforms = []
      for item in dataset_cfg.get("transforms", []):
          transforms.append(self.build_component(item))
      return transforms
  
imports: import copy
  from typing import Any, Optional
  import yaml
  import paddle
  from paddleseg.cvlibs import manager, Config
  from paddleseg.utils import utils, logger
  from paddleseg.utils.utils import CachedProperty
label_desc: Use image node_id 12 for calling the SegBuilder obj's underlying member method code with example usage: obj.val_transforms() and returns: transforms